Yisheng Lv
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View article: Hierarchical Markov Chain Monte Carlo Framework for Spatiotemporal EV Charging Load Forecasting
Hierarchical Markov Chain Monte Carlo Framework for Spatiotemporal EV Charging Load Forecasting Open
With the advancement of battery technology and the promotion of the “dual carbon” policy, electric vehicles (EVs) have been widely used in industrial, commercial, and civil fields, and the charging infrastructure of highway service areas a…
View article: Plug-and-Play Dramaturge: A Divide-and-Conquer Approach for Iterative Narrative Script Refinement via Collaborative LLM Agents
Plug-and-Play Dramaturge: A Divide-and-Conquer Approach for Iterative Narrative Script Refinement via Collaborative LLM Agents Open
Although LLMs have been widely adopted for creative content generation, a single-pass process often struggles to produce high-quality long narratives. How to effectively revise and improve long narrative scripts like scriptwriters remains …
View article: Self-Aware Adaptive Alignment: Enabling Accurate Perception for Intelligent Transportation Systems
Self-Aware Adaptive Alignment: Enabling Accurate Perception for Intelligent Transportation Systems Open
Achieving top-notch performance in Intelligent Transportation detection is a critical research area. However, many challenges still need to be addressed when it comes to detecting in a cross-domain scenario. In this paper, we propose a Sel…
View article: Talk Less, Fly Lighter: Autonomous Semantic Compression for UAV Swarm Communication via LLMs
Talk Less, Fly Lighter: Autonomous Semantic Compression for UAV Swarm Communication via LLMs Open
The rapid adoption of Large Language Models (LLMs) in unmanned systems has significantly enhanced the semantic understanding and autonomous task execution capabilities of Unmanned Aerial Vehicle (UAV) swarms. However, limited communication…
View article: A single-demonstration guided manipulation learning with dexterous hand
A single-demonstration guided manipulation learning with dexterous hand Open
View article: SUMO-MCP: Leveraging the Model Context Protocol for Autonomous Traffic Simulation and Optimization
SUMO-MCP: Leveraging the Model Context Protocol for Autonomous Traffic Simulation and Optimization Open
Traffic simulation tools, such as SUMO, are essential for urban mobility research. However, such tools remain challenging for users due to complex manual workflows involving network download, demand generation, simulation setup, and result…
View article: Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework Open
Although the Segment Anything Model (SAM) is highly effective in natural image segmentation, it requires dependencies on prompts, which limits its applicability to medical imaging where manual prompts are often unavailable. Existing effort…
View article: Cognitive impairment following maternal separation in rats mediated by the NAD+/SIRT3 axis via modulation of hippocampal synaptic plasticity
Cognitive impairment following maternal separation in rats mediated by the NAD+/SIRT3 axis via modulation of hippocampal synaptic plasticity Open
View article: UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobility
UAVs Meet LLMs: Overviews and Perspectives Toward Agentic Low-Altitude Mobility Open
Low-altitude mobility, exemplified by unmanned aerial vehicles (UAVs), has introduced transformative advancements across various domains, like transportation, logistics, and agriculture. Leveraging flexible perspectives and rapid maneuvera…
View article: Robust Model Predictive Control for Intercity Express Train
Robust Model Predictive Control for Intercity Express Train Open
View article: Signal Processing Mechanisms for Cloud-Edge-Terminal Collaborative MEC Networks
Signal Processing Mechanisms for Cloud-Edge-Terminal Collaborative MEC Networks Open
View article: Three-in-One: Robust Enhanced Universal Transferable Anti-Facial Retrieval in Online Social Networks
Three-in-One: Robust Enhanced Universal Transferable Anti-Facial Retrieval in Online Social Networks Open
Deep hash-based retrieval techniques are widely used in facial retrieval systems to improve the efficiency of facial matching. However, it also carries the danger of exposing private information. Deep hash models are easily influenced by a…
View article: Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining Open
A significant aspiration of offline reinforcement learning (RL) is to develop a generalist agent with high capabilities from large and heterogeneous datasets. However, prior approaches that scale offline RL either rely heavily on expert tr…
View article: MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving
MiniDrive: More Efficient Vision-Language Models with Multi-Level 2D Features as Text Tokens for Autonomous Driving Open
Vision-language models (VLMs) serve as general-purpose end-to-end models in autonomous driving, performing subtasks such as prediction, planning, and perception through question-and-answer interactions. However, most existing methods rely …
View article: Gating Syn-to-Real Knowledge for Pedestrian Crossing Prediction in Safe Driving
Gating Syn-to-Real Knowledge for Pedestrian Crossing Prediction in Safe Driving Open
Pedestrian Crossing Prediction (PCP) in driving scenes plays a critical role in ensuring the safe operation of intelligent vehicles. Due to the limited observations of pedestrian crossing behaviors in typical situations, recent studies hav…
View article: MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive Reordering
MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive Reordering Open
Occupancy prediction has attracted intensive attention and shown great superiority in the development of autonomous driving systems. The fine-grained environmental representation brought by occupancy prediction in terms of both geometry an…
View article: A Spatio-Temporal Approach with Self-Corrective Causal Inference for Flight Delay Prediction
A Spatio-Temporal Approach with Self-Corrective Causal Inference for Flight Delay Prediction Open
Accurate flight delay prediction is crucial for the secure and effective operation of the air traffic system. Recent advances in modeling inter-airport relationships present a promising approach for investigating flight delay prediction fr…
View article: Traj-LLM: A New Exploration for Empowering Trajectory Prediction with Pre-trained Large Language Models
Traj-LLM: A New Exploration for Empowering Trajectory Prediction with Pre-trained Large Language Models Open
Predicting the future trajectories of dynamic traffic actors is a cornerstone task in autonomous driving. Though existing notable efforts have resulted in impressive performance improvements, a gap persists in scene cognitive and understan…
View article: Still on the Way: Too Many Traffic Scenarios? Not Enough! [Editor’s Column]
Still on the Way: Too Many Traffic Scenarios? Not Enough! [Editor’s Column] Open
When speaking of virtual testing of driverless systems (hereinafter referred to as "systems") in open scenarios, researchers, and engineers usually frown, scratching their heads and complaining about how time-consuming and effort-intensive…
View article: An Introduction to the Purdue Digital Twin Lab [ITS Research Lab]
An Introduction to the Purdue Digital Twin Lab [ITS Research Lab] Open
Please send your proposal on profiling research activities of your or other intelligent transportation systems research groups and labs for the "ITS Research Labs" column to Yisheng Lv at yisheng.lv@ ia.ac.cn.
View article: Cognitive impairment following maternal separation in the rat is regulated by effects of the NAD + /SIRT3 axis on hippocampal synaptic plasticity
Cognitive impairment following maternal separation in the rat is regulated by effects of the NAD + /SIRT3 axis on hippocampal synaptic plasticity Open
Maternal separation during early life can induce behaviors in adult animals that resemble those seen in schizophrenia, manifesting cognitive deficits. This may be indicative of oxidative stress linked to mitochondrial dysfunction. However,…
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models
SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models Open
Recent trends in Large Vision Language Models (LVLMs) research have been increasingly focusing on advancing beyond general image understanding towards more nuanced, object-level referential comprehension. In this paper, we present and delv…
View article: Low-Carbon Economic Dispatch of Integrated Energy Systems in Industrial Parks Considering Comprehensive Demand Response and Multi-Hydrogen Supply
Low-Carbon Economic Dispatch of Integrated Energy Systems in Industrial Parks Considering Comprehensive Demand Response and Multi-Hydrogen Supply Open
To address the increasing hydrogen demand and carbon emissions of industrial parks, this paper proposes an integrated energy system dispatch strategy considering multi-hydrogen supply and comprehensive demand response. This model adopts po…
View article: BjTT: A Large-scale Multimodal Dataset for Traffic Prediction
BjTT: A Large-scale Multimodal Dataset for Traffic Prediction Open
Traffic prediction is one of the most significant foundations in Intelligent Transportation Systems (ITS). Traditional traffic prediction methods rely only on historical traffic data to predict traffic trends and face two main challenges. …
View article: Education Practice Survey Overview and Work Plan Optimization of Yancheng Normal University
Education Practice Survey Overview and Work Plan Optimization of Yancheng Normal University Open
This paper mainly discusses the research situation and work plan optimization of normal university students education practice. This paper frst introduces the selection of the right school and design the importance of various methods of re…
View article: An Introduction to the Chair of Traffic Process Automation [Its Research Lab]
An Introduction to the Chair of Traffic Process Automation [Its Research Lab] Open
View article: What’s Next After Big Models? Small Models? Agents? Other Things? [Editor’s Column]
What’s Next After Big Models? Small Models? Agents? Other Things? [Editor’s Column] Open
The last couple of years have seen a steady stream of bigger and better big models. But what's next after the current high-water mark—big models? Small models? Agents? Or other things? In intelligent transportation systems, the same questi…
View article: IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY
IEEE INTELLIGENT TRANSPORTATION SYSTEMS SOCIETY Open
View article: RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences Open
Preference-based Reinforcement Learning (PbRL) circumvents the need for reward engineering by harnessing human preferences as the reward signal. However, current PbRL methods excessively depend on high-quality feedback from domain experts,…